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Phasor Measurement Unit-Driven Estimation of Transmission Line Parameters Using Variable Noise Model

Author

Listed:
  • Felipe Proença de Albuquerque

    (Escola Politécnica, Universidade de São Paulo, São Paulo 05508-220, Brazil)

  • Rafael Nascimento

    (Escola Politécnica, Universidade de São Paulo, São Paulo 05508-220, Brazil)

  • Carlos A. Prete

    (Escola Politécnica, Universidade de São Paulo, São Paulo 05508-220, Brazil)

  • Eduardo Coelho Marques da Costa

    (Escola Politécnica, Universidade de São Paulo, São Paulo 05508-220, Brazil)

Abstract

Accurate parameters are crucial in modern energy systems to ensure the reliable operation of all components. Given the substantial volume of data in monitored systems, high-performance methods are necessary. This paper proposes a new Bayesian multi-output regressor for estimating the parameters of a three-phase transmission line. The presented approach achieves acceptable accuracy in parameter estimation using only one end of the line. The Bayesian regressor is developed using information derived from the data themselves, eliminating the need to explicitly model the system. This capability allows the method to estimate parameters while accommodating different noise models, even in the presence of systematic errors and non-Gaussian random noise. The methodology was validated on various systems, including a two-bus system, IEEE 14-bus, IEEE 39-bus, and IEEE 118-bus, under diverse conditions such as varying sample sizes, loads, and noise levels. These tests demonstrate the robustness of the proposed approach.

Suggested Citation

  • Felipe Proença de Albuquerque & Rafael Nascimento & Carlos A. Prete & Eduardo Coelho Marques da Costa, 2024. "Phasor Measurement Unit-Driven Estimation of Transmission Line Parameters Using Variable Noise Model," Energies, MDPI, vol. 17(14), pages 1-21, July.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:14:p:3587-:d:1439738
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